TnSeqCorr

• These are correlations of TnSeq responses across 82 experimental conditions.
• LFCs (log2-fold-changes) were computed for each gene in each condition relative to a relevant control condition (e.g. H37Rv grown on 7H9).
• The LFCs were normalized by dividing by the standard deviation for each condition. (so roughly, |LFC|>2 are the outliers, i.e. tails of the distribution)
• Note that essential genes often have LFCs around 0.
• Data for some genes is not available if they have less than 3 TA sites, or the dynamic range of LFCs is less than 2.0 across all conditions. (This is the case for many essential genes.)
• 'leverage' on each plot is a statistical score that indicates how much the regression is influenced by a few outlier points; the traditional threshold is indicated on the plots (3p/n, which is about 0.07 for this dataset), but in practice, cases with leverage > ~0.2 seem to be the least reliable (most misleading) correlation coefficients.

Top 10 genes with highest correlation to Rv1051c/-:

update plot	correlation	link to info on gene
Rv0971c/echA7	(cc=0.5574)	info on Rv0971c/echA7
Rv2390c/-	(cc=0.5491)	info on Rv2390c/-
Rv3143/-	(cc=0.5345)	info on Rv3143/-
Rv1020/mfd	(cc=0.5284)	info on Rv1020/mfd
Rv1751/-	(cc=0.5149)	info on Rv1751/-
Rv3147/nuoC	(cc=0.5134)	info on Rv3147/nuoC
Rv3176c/mesT	(cc=0.4928)	info on Rv3176c/mesT
Rv0495c/-	(cc=0.4858)	info on Rv0495c/-
Rv0698/-	(cc=0.4857)	info on Rv0698/-
Rv0310c/-	(cc=0.4809)	info on Rv0310c/-

Correlation of Rv1051c/- with Rv0698/-

Normalized LFCs for Rv1051c/-:
(description and provenance of datasets)

	Rv1051c/-	Rv0698/-
Fe_supp_jason_reseq	-1.045	-2.327
low_pH_jason_reseq	-0.857	0.706
NO_jason_reseq	0.488	-0.155
B6_jason_reseq	-2.276	-2.577
MHCII_jason_reseq	-2.004	-1.035
Isoniazid02	-0.297	-0.113
Rifampicin4	0.249	0.39
Ethambutol3	-0.474	0.336
Meropenem3	0.152	0.089
Vancomycin16	0.244	0.0
Rv2680_day32	2.224	1.157
H37Rv_KO_MarP	-0.343	0.313
hypoxia_3wks	-0.096	-0.921
hypoxia_6wks	0.098	-1.059
glycerol	-0.291	0.192
cholesterol	0.14	0.203
AJ	-0.334	-0.118
Bibs02	1.386	-0.775
Bibs02c	-1.314	-1.622
BL6	2.642	1.536
BL6a	1.07	-0.207
BXD01	1.147	0.911
BXD010	1.607	0.432
BXD011	1.404	0.233
BXD03	1.358	-0.069
BXD04	1.853	2.14
BXD05	0.929	0.835
BXD06	2.123	0.451
BXD07	1.959	1.134
BXD08	1.557	0.541
BXD09	2.161	-0.071
CAST	-0.938	-0.37
CCcont	1.42	2.126
DS01	1.547	0.527
DS02	-0.885	0.654
DS04	4.721	0.354
DS0c	-0.074	0.809
GP01	1.156	0.715
GP02	1.7	-0.292
GP0c	1.958	1.916
NOD	-1.276	1.57
NZO	0.682	-0.321
PWK	0.249	0.274
H37Rv_KO_CtpC	0.973	-0.261
H37Rv_KO_CtpD	-0.516	0.949
H37Rv_KO_Rv1272	1.2	0.315
H37Rv_KO_SugABC	1.843	-0.669
H37Rv_KO_MbtN	-0.527	0.098
Trans05	0.509	1.877
macrophage_unactivated	0.215	0.133
IL1	0.575	-0.128
Rapamycin	0.954	-0.132
Tcell	0.671	0.521
GMCSF	-1.001	-1.172
IFNab	0.323	0.248
IFNg	0.74	-0.355
IFNg_GMCSF1	-0.179	-0.135
Rv1432_day32	0.18	0.0
Rv1565c_day32	-0.747	0.45
secA2_input	-0.318	-2.719
delta_Rv3594	0.119	-0.922
delta_Rv3717	-0.457	-2.231
delta_Rv3811	-1.157	-0.107
delta_Rv0954	0.243	-0.142
PonA1	1.767	-1.196
EccD1_KO	-1.194	-2.144
EspI_KO	-0.616	-0.827
PE35_KO	-0.767	-0.128
PPE68_KO	-1.683	-0.141
glycerol2	0.68	2.221
lignocerate	1.987	2.498
oleate	-1.71	-0.688
phosphatidylcholine	1.367	2.359
acetate	2.608	3.41
glucAc	1.964	2.902
Rv0950ko	0.552	-0.256
Rv1096ko	2.247	-0.528
Rv3684ko	0.0	-0.888
delta_otsA_trehalose	0.02	1.38